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Enhancing AI Responses with Retrieval Augmented Generation
This chapter explores Retrieval Augmented Generation (RAG) and its role in improving large language model responses by integrating relevant fetched data. It also discusses MongoDB's innovative method of merging vector search with transactional databases for enhanced query accuracy.